DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von Redgate Software

DBMS > ClickHouse vs. Microsoft Azure Data Explorer vs. Oracle NoSQL

Vergleich der Systemeigenschaften ClickHouse vs. Microsoft Azure Data Explorer vs. Oracle NoSQL

Bitte wählen Sie ein weiteres System aus, um es in den Vergleich aufzunehmen.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessen
KurzbeschreibungA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Fully managed big data interactive analytics platformA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte15,17
Rang#37  Overall
#22  Relational DBMS
Punkte3,57
Rang#81  Overall
#44  Relational DBMS
Punkte2,93
Rang#94  Overall
#17  Document Stores
#14  Key-Value Stores
#50  Relational DBMS
Websiteclickhouse.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­nosql/­technologies/­nosql
Technische Dokumentationclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
EntwicklerClickhouse Inc.MicrosoftOracle
Erscheinungsjahr201620192011
Aktuelle Versionv24.6.2.17-stable, Juli 2024cloud service with continuous releases24.1, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
ImplementierungsspracheC++Java
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetLinux
Solaris SPARC/x86
DatenschemajaFixed schema with schema-less datatypes (dynamic)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesoptional
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesyesall fields are automatically indexedja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)Kusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte ProgrammiersprachenC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rnein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Fremdschlüssel inforeferenzielle Integritätneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajaja
Durability infoDauerhafte Speicherung der Datenjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infooff heap cache
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Azure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen

Weitere Informationen bereitgestellt vom Systemhersteller

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ClickHouseMicrosoft Azure Data ExplorerOracle NoSQL
Erwähnungen in aktuellen Nachrichten

From Open Source to SaaS: the Journey of ClickHouse
16. Januar 2024, InfoQ.com

ClickHouse Cloud Is Now Generally Available on Microsoft Azure
25. Juni 2024, Business Wire

Snowflake vs. BigQuery vs. ClickHouse: Mastering Cost-Effective Business Analytics
6. Dezember 2023, hackernoon.com

ClickHouse: Optimizing Real-Time Data Analysis with Online Analytical Processing
11. Oktober 2023, The New Stack

Can LLMs Replace Data Analysts? Getting Answers Using SQL
22. Dezember 2023, Towards Data Science

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
31. Mai 2024, Microsoft

Update records in a Kusto Database (public preview)
20. Februar 2024, Microsoft

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints
5. Februar 2024, Microsoft

Public Preview: Azure Data Explorer connector for Apache Flink
8. Januar 2024, Microsoft

General availability: Azure Data Explorer adds new geospatial capabilities
23. Januar 2024, Microsoft

bereitgestellt von Google News

OpenWorld 2013: Oracle NoSQL Database On the Rise?
13. Dezember 2023, Channel Futures

Oracle Beefs Up Its NoSQL Database Offering
31. Mai 2024, Data Center Knowledge

8 Most Popular NoSQL Databases
15. Juli 2024, AIM

We built a geo-distributed, serverless modern app using the Oracle NoSQL Database Cloud Service
18. November 2021, Oracle

Connect to Oracle Cloud simulator from IntelliJ in under five minutes
10. Mai 2021, Oracle

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Präsentieren Sie hier Ihr Produkt